Matthijs van Leeuwen

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Citations	1691	1018
h-index	22	19
i10-index	31	27

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Co-authors

Jilles VreekenCISPA Helmholtz Center for Information Security; Professor, Saarland UniversityVerified email at cispa.saarland
Luc De Raedtprofessor, KU LeuvenVerified email at cs.kuleuven.be
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit LeidenVerified email at uclouvain.be
Antti UkkonenSpeechly & University of HelsinkiVerified email at helsinki.fi
Vladimir DzyubaFaktionVerified email at faktion.com
Thanh Le VanINRIAVerified email at inria.fr
Arno KnobbeLIACS, Leiden UniversityVerified email at liacs.leidenuniv.nl
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Francesco BonchiScientific Director of ISI FoundationVerified email at isi.it
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
Lieven VerbekeData scientist@yazzoom.comVerified email at yazzoom.com
Jimmy Van den EyndenAssistant professor at Ghent UniversityVerified email at ugent.be
Dries De MaeyerVerified email at its.jnj.com
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Dario FloreanoProfessor of Robotics & A.I. at EPFLVerified email at epfl.ch
Wouter DuivesteijnTU EindhovenVerified email at tue.nl
Ad Feeldersuniversitair docent informatica, Universiteit UtrechtVerified email at uu.nl
Bas van SteinLeiden UniversityVerified email at liacs.leidenuniv.nl
Sander van RijnPhD Student LIACSVerified email at liacs.leidenuniv.nl
Christos FaloutsosCMUVerified email at cs.cmu.edu

Matthijs van Leeuwen

Associate Professor Data Mining, Leiden University

Verified email at liacs.leidenuniv.nl - Homepage

Data mining pattern mining information theory machine learning artificial intelligence


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Krimp: mining itemsets that compress J Vreeken, M Van Leeuwen, A Siebes Data Mining and Knowledge Discovery 23 (1), 169-214, 2011	319	2011
Item Sets That Compress A Siebes, J Vreeken, M van Leeuwen Proceedings of the Sixth SIAM International Conference on Data Mining 124, 395, 2006	195	2006
Diverse subgroup set discovery M Van Leeuwen, A Knobbe Data Mining and Knowledge Discovery 25 (2), 208-242, 2012	107	2012
Characterising the difference J Vreeken, M Van Leeuwen, A Siebes Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	78	2007
Compression picks item sets that matter M van Leeuwen, J Vreeken, A Siebes European Conference on Principles of Data Mining and Knowledge Discovery …, 2006	77	2006
StreamKrimp: Detecting Change in Data Streams M Van Leeuwen, A Siebes Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008	73	2008
Evolving vision-based flying robots JC Zufferey, D Floreano, M Van Leeuwen, T Merenda International Workshop on Biologically Motivated Computer Vision, 592-600, 2002	72	2002
Description-driven community detection S Pool, F Bonchi, M Leeuwen ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 1-28, 2014	71	2014
Subgroup discovery meets bayesian networks--an exceptional model mining approach W Duivesteijn, A Knobbe, A Feelders, M van Leeuwen 2010 IEEE International Conference on Data Mining, 158-167, 2010	64	2010
Interactive data exploration using pattern mining M Van Leeuwen Interactive knowledge discovery and data mining in biomedical informatics …, 2014	60	2014
Non-redundant subgroup discovery in large and complex data M Van Leeuwen, A Knobbe Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011	40	2011
Maximal exceptions with minimal descriptions M van Leeuwen Data Mining and Knowledge Discovery 21 (2), 259-276, 2010	35	2010
Preserving privacy through data generation J Vreeken, M Van Leeuwen, A Siebes Seventh IEEE International Conference on Data Mining (ICDM 2007), 685-690, 2007	35	2007
Interactive discovery of interesting subgroup sets V Dzyuba, M van Leeuwen International Symposium on Intelligent Data Analysis, 150-161, 2013	33	2013
Identifying the components M van Leeuwen, J Vreeken, A Siebes Data Mining and Knowledge Discovery 19 (2), 176-193, 2009	29	2009
Predicting outcome of endovascular treatment for acute ischemic stroke: potential value of machine learning algorithms HJA Van Os, LA Ramos, A Hilbert, M Van Leeuwen, ... Frontiers in neurology 9, 784, 2018	28	2018
Subjective interestingness of subgraph patterns M van Leeuwen, T De Bie, E Spyropoulou, C Mesnage Machine Learning 105 (1), 41-75, 2016	28	2016
Interactive learning of pattern rankings V Dzyuba, M Leeuwen, S Nijssen, L De Raedt International Journal on Artificial Intelligence Tools 23 (06), 1460026, 2014	26	2014
Simultaneous discovery of cancer subtypes and subtype features by molecular data integration T Le Van, M Van Leeuwen, A Carolina Fierro, D De Maeyer, ... Bioinformatics 32 (17), i445-i454, 2016	25	2016
Discovering skylines of subgroup sets M Van Leeuwen, A Ukkonen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	25	2013

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